Roni Dover
Infovore, product developer, and a board game geek. Writing and talking about development practices, Devops, and design/architecture topics.
Sunnyvale, California, United States
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Holistic developer and builder with a passion for development processes and practices. Afflicted by an acute Product Manager/Developer split personality disorder that was never treated. Currently, CTO and co-founder of Digma (digma.ai), an IDE plugin for code runtime AI analysis to help accelerate development in complex codebases. A big believer in evidence-based development, and a proponent of Continuous Feedback in all aspects of Software Engineering.
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Coding with the lights ON - OpenTelemetry from code to prod
Continuous Feedback is a new dev practice, that addresses a gap in the dev to prod cycle. While a considerable amount of data is collected about the application and its behavior in prod, very little of that is effectively put to use when we write code
By using OpenTelemetry, as well as open-source tools and platforms, developers can leverage metrics and traces to challenge code assumptions and develop for real-world requirements in an evidence-based manner, extending code ownership all the way to production and beyond. Observability, after all, can be about more than pretty dashboards.
This talk is relevant to any Developer or DevOps practitioner seeking to understand how to use current observability technologies effectively in a way that can make an impact on the dev process and improve code quality. We'll explore practical techniques, tools, and practices that can be combined to create a Continuous Feedback pipeline.
Related blog posts: https://betterprogramming.pub/the-observant-developer-part-1-1939d53fd5a4 https://levelup.gitconnected.com/ci-cd-cf-the-devops-toolchains-missing-link-b5c88caf6282
Tokenconomy - Why spending $$ on tokens doesn't make your model smarter
With exponential adoption, LLMs have been running amok, draining allocated budgets and accrueing legendary costs. In this session we'll take a look at a few simple tricks that with some creative programming can reduce your costs by 50% while increasing the result quality and speeding up your agentic flow.
Like many developers, I started my LLM experimentation on my own budget. Right before my credit card became maxed out, I noticed that the LLM defaults were *anything* but efficient. Suprisingly with a slimmed down context the agentic quality increased.
In this session I will share some practices that came from analyzing my own bloated trajectories. We'll review snippets, hooks, practices and strategies to help deal with what will soon overshadow cloud costs - token economy.
How not to write an MCP server, lessons from the trenches
This session is a developer diary of my own hard lesssons learned trying to create an effective MCP server. I've gone through many wrong turns, trying to naively wrap my API, exploring different techniques that eventually evolved my MCP from a context polluter to an effective set of tools. On my journey, I've experimented with a Hypermedia approach to the tools API, some prompt injection, and learned some important lessons the hard way.
I've written a couple of blog posts relating to the topics covered in this talk:
https://towardsdatascience.com/how-not-to-write-an-mcp-server/
https://towardsdatascience.com/talk-to-my-agent/
Roni Dover
Infovore, product developer, and a board game geek. Writing and talking about development practices, Devops, and design/architecture topics.
Sunnyvale, California, United States
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